Structural Equation Modeling with Mplus: Basic Concepts, Applications, and Programming (Multivariate Applications Series)

Modeled after Barbara Byrne’s other best-selling structural equation modeling (SEM) books, this practical guide reviews the basic concepts and applications of SEM using M__plus__ Versions 5 & 6. The author reviews SEM applications based on actual data taken from her own research. Using non-mathematical language, it is written for the novice SEM user. With each application chapter, the author "walks" the reader through all steps involved in testing the SEM model including: * an explanation of the issues addressed * illustrated and annotated testing of the hypothesized and post hoc models * explanation and interpretation of all M__plus__ input and output files * important caveats pertinent to the SEM application under study * a description of the data and reference upon which the model was based * the corresponding data and syntax files available at http://www.psypress.com/sem-with-mplus/datasets . The first two chapters introduce the fundamental concepts of SEM and important basics of the M__plus__ program. The remaining chapters focus on SEM applications and include a variety of SEM models presented within the context of three sections: Single-group analyses, Multiple-group analyses, and other important topics, the latter of which includes the multitrait-multimethod, latent growth curve, and multilevel models. Intended for researchers, practitioners, and students who use SEM and M__plus__, this book is an ideal resource for graduate level courses on SEM taught in psychology, education, business, and other social and health sciences and/or as a supplement for courses on applied statistics, multivariate statistics, intermediate or advanced statistics, and/or research design. Appropriate for those with limited exposure to SEM or M__plus__, a prerequisite of basic statistics through regression analysis is recommended. Modeled after Barbara Byrne’s other best-selling structural equation modeling (SEM) books, this practical guide reviews the basic concepts and applications of SEM using M plus Versions 5 & 6. The author reviews SEM applications based on actual data taken from her own research. Using non-mathematical language, it is written for the novice SEM user. With each application chapter, the author "walks" the reader through all steps involved in testing the SEM model including: an explanation of the issues addressed illustrated and annotated testing of the hypothesized and post hoc models explanation and interpretation of all M plus input and output files important caveats pertinent to the SEM application under study a description of the data and reference upon which the model was based the corresponding data and syntax files available at http://www.psypress.com/sem-with-mplus/datasets . The first two chapters introduce the fundamental concepts of SEM and important basics of the M plus program. The remaining chapters focus on SEM applications and include a variety of SEM models presented within the context of three sections: Single-group analyses, Multiple-group analyses, and other important topics, the latter of which includes the multitrait-multimethod, latent growth curve, and multilevel models. Intended for researchers, practitioners, and students who use SEM and M plus , this book is an ideal resource for graduate level courses on SEM taught in psychology, education, business, and other social and health sciences and/or as a supplement for courses on applied statistics, multivariate statistics, intermediate or advanced statistics, and/or research design. Appropriate for those with limited exposure to SEM or M plus , a prerequisite of basic statistics through regression analysis is recommended. Modeled after Barbara Byrne's other best-selling structural equation modeling (SEM) books, this practical guide reviews the basic concepts and applications of SEM using Mplus Versions 5 & 6. The author reviews SEM applications based on actual data taken from her own research. Using non-mathematical language, it is written for the novice SEM user. With each application chapter, the author'walks'the reader through all steps involved in testing the SEM model including: an explanation of the issues addressed illustrated and annotated testing of the hypothesized and post hoc models explanation and interpretation of all Mplus input and output files important caveats pertinent to the SEM application under study a description of the data and reference upon which the model was based the corresponding data and syntax files available under'Supplementary Material'below The first two chapters introduce the fundamental concepts of SEM and important basics of the Mplus program. The remaining chapters focus on SEM applications and include a variety of SEM models presented within the context of three sections: Single-group analyses, Multiple-group analyses, and other important topics, the latter of which includes the multitrait-multimethod, latent growth curve, and multilevel models.Intended for researchers, practitioners, and students who use SEM and Mplus, this book is an ideal resource for graduate level courses on SEM taught in psychology, education, business, and other social and health sciences and/or as a supplement for courses on applied statistics, multivariate statistics, intermediate or advanced statistics, and/or research design. Appropriate for those with limited exposure to SEM or Mplus, a prerequisite of basic statistics through regression analysis is recommended. This Text Aims To Provide Readers With A Nonmathematical Introduction To The Basic Concepts Associated With Structural Equation Modeling, And To Illustrate Its Basic Applications Using The Mplus Program--provided By Publisher. Section I: Introduction. Structural Equation Models: The Basics ; Using Mplus Program -- Section Ii: Single-group Analysis. Testing The Factorial Validity Of A Theoretical Construct: First-order Confirmatory Factor Analysis Model ; Testing The Factorial Validity Of Scores From A Measuring Instrument: First-order Confirmatory Factor Analysis Model ; Testing The Validity Of Scores From A Measuring Instrument: Second-order Confirmatory Factor Analysis Model ; Testing The Validity Of A Causal Structure: Full Structural Equation Model -- Section Iii: Multiple-group Analyses. Testing For The Factorial Equivalence Of A Measuring Instrument: Analysis Of Covariance Structures ; Testing For The Equivalence Of Latent Factor Means: Analysis Of Mean And Covariance Structures ; Testing For The Equivalence Of A Causal Structure: Full Structural Equation Model -- Sevtion Iv: Other Important Topics. Testing Evidence Of Construct Validity: The Multitrait-multimethod Model ; Testing Change Over Time: The Latent Growth Curve Model ; Testing Within- And Between-level Variability: The Multilevel Model. Barbara M. Byrne. Includes Bibliographical References And Indexes. "This text aims to provide readers with a nonmathematical introduction to the basic concepts associated with structural equation modeling, and to illustrate its basic applications using the Mplus program"-- Provided by publisher